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len(agents)) // 2):\n\n        parent1 = random.choice(agents)\n        parent2 = random.choice(agents)\n        child1 = Agent(in_str_len)\n        child2 = Agent(in_str_len)\n        split = random.randint(0, in_str_len)\n        child1.string = parent1.string[0:split] + parent2.string[split:in_str_len]\n        child2.string = parent2.string[0:split] + parent1.string[split:in_str_len]\n\n        offspring.append(child1)\n        offspring.append(child2)\n\n    agents.extend(offspring)\n\n    return agents\n\n\ndef mutation(agents):\n\n    for agent in agents:\n        for idx, param in enumerate(agent.string):\n            if random.uniform(0.0, 1.0) <= mutator:\n                if all_apart == 0:\n                    agent.string = agent.string[0:idx] + \\\n                                [(random.choice(data[0]))] + \\\n                                agent.string[idx+1:in_str_len]\n                elif all_apart == 1:\n                    agent.string = agent.string[0:idx] + \\\n                                [[random.uniform(-mutator,mutator)+d for d in param]] + \\\n                                agent.string[idx+1:in_str_len]\n                else:\n                    agent.string = agent.string[0:idx] + \\\n                                [(random.choice(data[0]))] + \\\n                                agent.string[idx+1:in_str_len]\n\n    return agents\n\nif data and pattern:\n    in_str = pattern[0]\n    emax = lambda a,b: a if (a > b) else b\n    emin = lambda a,b: a if (a < b) else b\n    all_max = reduce(emax,[reduce(emax, x) for x in in_str])\n    all_min = reduce(emin,[reduce(emin, x) for x in in_str])\n    all_dif = all_max-all_min\n    print(f'GA initialised with {type(in_str)} {len(in_str)} \\\n            \\n{in_str[:3]}...')\n    in_str_len = len(in_str)\n    combo = []\n    vers_final = [ga()]\n    vers_descr = combo\n"
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